from nltk import pos_tag, word_tokenize
from nltk.stem.porter import PorterStemmer
from nltk.stem.wordnet import WordNetLemmatizer
p="Helped maintain a healthcare Enterprise Content Management solution. Worked with a large virtual team including offshore and nearshore workers in fixing bugs and creating enhancements in the basic ActiveX thick client application as well as building a new application that was built from the ground up with ASP.NET AJAX, HTML/Javascript."
v=('VBN','VBD','VB','VBP','VBZ')
n=('NN','NNS','NNP','NNPS')
for s in p.split('.'):
    s=s.strip()
    s=s[0].lower()+s[1:]
    if s:
        #print len(s)
        token_pos_pairs=zip(*pos_tag(word_tokenize('I '+s)))
        for i in range(0,len(token_pos_pairs[1])):
            if token_pos_pairs[1][i] in ('NN','NNS','NNP','NNPS'):
                a=token_pos_pairs[0][i].lower()
            